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Mistral_Sparse_refined_web_70p_2024-03-12

Text Generation
Transformers
Safetensors
sparse_mistral
Generated from Trainer
custom_code
Model card Files Community
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End of training

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  1. README.md +14 -4
  2. model-00001-of-00003.safetensors +1 -1
  3. model-00002-of-00003.safetensors +1 -1
  4. model-00003-of-00003.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1411
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  ## Model description
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@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - training_steps: 2350
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  ### Training results
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@@ -143,8 +143,18 @@ The following hyperparameters were used during training:
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  | 2.1867 | 0.36 | 2250 | 2.4132 |
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  | 2.3178 | 0.36 | 2275 | 2.4120 |
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  | 2.2948 | 0.37 | 2300 | 2.4071 |
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- | 2.1932 | 0.37 | 2325 | 2.4067 |
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- | 2.2373 | 0.38 | 2350 | 2.4121 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1373
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  ## Model description
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 2600
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  ### Training results
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  | 2.1867 | 0.36 | 2250 | 2.4132 |
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  | 2.3178 | 0.36 | 2275 | 2.4120 |
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  | 2.2948 | 0.37 | 2300 | 2.4071 |
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+ | 2.1954 | 0.37 | 2325 | 2.4108 |
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+ | 2.2368 | 0.38 | 2350 | 2.4105 |
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+ | 2.2714 | 0.38 | 2375 | 2.4060 |
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+ | 2.2808 | 0.38 | 2400 | 2.4097 |
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+ | 2.1327 | 0.39 | 2425 | 2.4075 |
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+ | 2.1245 | 0.39 | 2450 | 2.4101 |
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+ | 2.2168 | 0.4 | 2475 | 2.4119 |
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+ | 2.2988 | 0.4 | 2500 | 2.4106 |
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+ | 2.3049 | 0.4 | 2525 | 2.4084 |
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+ | 2.159 | 0.41 | 2550 | 2.4103 |
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+ | 2.183 | 0.41 | 2575 | 2.4105 |
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+ | 2.2598 | 0.42 | 2600 | 2.4103 |
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  ### Framework versions
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